It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The article discusses the rTisane, a domain-specific language (DSL) tool developed to express conceptual models for data analysis. It helps analysts to externalize their assumptions about variables and their relationships,…
Continue readingSpeakEasy is a chatbot developed by a team of researchers. It’s designed to help improve the user’s communication skills by engaging in a seven-minute spoken conversation, analyzing the user’s responses,…
Continue readingThe article presents a model for symbolic music generation that is controlled by emotions. This model combines diffusion models with Generative Adversarial Networks (GANs). While diffusion models have been successful…
Continue readingThe article discusses the use of Denoising Diffusion Probabilistic Models (DDPM) in the generation of symbolic music with desired composer styles. The authors propose the combination of a vector quantized…
Continue readingThe article discusses the importance of fault diagnosis in rotating machinery for the safety and stability of modern industrial systems. It highlights the challenge of distribution discrepancy between training data…
Continue readingThe article investigates the basic language capabilities of pre-trained multimodal models, questioning their understanding of image-text interaction. It introduces the BLA Benchmark, a tool designed to evaluate these models based…
Continue readingThe article presents an empirical study aimed at helping service providers understand if and how Large Language Models (LLMs) technology can be integrated into their services. The study uses a…
Continue readingThe article discusses the limitations of Differentiable Architecture Search (DAS) in the field of Neural Architecture Search (NAS). DAS has been prominent due to its time-efficient automation of neural network…
Continue readingThe study presents a novel 1D deep learning tool, CaReNet-V1, for breast cancer subtype evaluation and biochemical content evaluation using micro-FTIR hyperspectral images. The tool effectively classified cancer and adjacent…
Continue readingThis research presents a new annotation strategy, Drag&Drop, for tumor detection and localization. This strategy simplifies the annotation process making it more efficient, particularly for temporal and volumetric imaging. The…
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